The Human Behind the Door – O’Reilly

On a windy corner in Chicago stands an old hotel whose front doors shine like brass mirrors. Every morning, before guests reach the stairs, a tall man in a gray coat opens a coat with quiet precision. He greets them by name, points them to the elevators, and somehow makes every passenger feel like a regular passenger. For a cost consultant, that’s a line item. For guests, it is part of the building’s ambiance.

When management installed automatic doors a few years ago, the entrance became quieter and cheaper, but not better. Guests no longer delayed for conversation, taxis made fewer stops, and the lobby began to feel cooler. Automation improved the hotel’s revenue but not its character.

This story reflects the words of a British advertising executive Rory Sutherland Call “doorman fallacy,” the habit of mistaking visual works for complete roles. This includes short video explanationSutherland explains that a doorman does more than open doors. He represents protection, care and ceremony. Its presence changes people’s feelings about a place. Remove that, and you’ll save money but lose meaning.

lesson behind the metaphor

Sutherland expanded on this idea in his 2019 book AlchemyArguing that logic alone can lead organizations astray. We generally give less importance to the intangible parts of human work because they do not fit neatly into a spreadsheet. For example, the doorman seems unnecessary only if you assume that his work is merely mechanical. The truth is that it plays a social and symbolic role. He welcomes guests, conveys prestige and creates a sense of security.

Of course, this lesson extends far beyond hotels. Human behavior is considered inefficient in one business after another. The result is thin experiences, shallow relationships, and systems that look streamlined on paper but ring hollow in practice.

Concierge in the age of AI

one in recent articles For Conversation, Gediminas Lipnikas The University of South Australia argues that many companies are repeating the same mistakes with artificial intelligence. He cautions people against the tendency to replace people because technology can mimic their simplest tasks while ignoring the judgment, empathy and adaptability that define the job.

Lipnikus offers two examples.

Commonwealth Bank of Australia It laid off 45 customer service agents after introducing a voice bot, then reversed the decision when it realized the employees were not redundant. They were not just phone operators, but context interpreters.

Taco Bell Introduced AI voice ordering at the drive-thru to speed up service, but customers complained of errors, confusion, and unrealistic interactions with synthetic voices. The company halted the rollout and admitted that human improvements worked better, especially during busy periods.

Both cases reveal the same pattern: automation succeeds technically but fails experientially. This is the digital version of installing an automatic door and wondering why the lobby seems empty.

measuring the wrong thing

The doorman fallacy persists because organizations continue to measure only what is visible. Performance dashboards reward tidying up numbers, answering calls, closing tickets, avoiding customer contact, because they are easier to track. But they forget the essence of the work: problem-solving, reassurance and quiet support.

When we optimize for visible throughput rather than invisible value, we teach everyone to pursue efficiency at the expense of meaning. An efficient agent does not just resolve the complaint; They clarify the tone and calm the frustration. A nurse doesn’t just record important things; They feel hesitations that no sensor can capture. A line cook doesn’t just fill orders; They maintain the rhythm of the kitchen.

The answer is not to stop measuring; It’s about doing a better job of measuring. Key results should focus on interaction, problem-solving and support, not just volume and speed. Otherwise, we risk automating the very parts of the work that make it valuable.

efficiency vs empathy

Sutherland’s insight and Lipnik’s warning converge on the same point: When efficiency ignores empathy, the system breaks down. Automation works well for limited, rule-based tasks such as data entry, image processing, or predictive maintenance. But as soon as creativity, empathy and creative problem-solving come into the picture, humans become indispensable.

What appears to be inefficiencies on paper is often inflexibility in practice. A concierge who stops to chat with a regular guest may seem unproductive, yet that moment reinforces loyalty and reputation in a way that no metric can show.

Coaching, not replacement

That’s why my own work focuses on using AI as a coach or mentorNot as a worker. A well-designed AI coach can inspire reflection, provide structure, and accelerate learning, but it still relies on human curiosity to drive the process. The machine can uncover possibilities, but only the individual can decide what matters.

When I design an AI coach, I think of it as a close, partner in thought. Douglas EngelbartThe idea of ​​a human-computer partnership versus a substitute employee. The instructor asks questions, provides support, and fosters creativity. It does not replace the messy, interpretive work that defines human intelligence.

a more human kind of intelligence

The deeper lesson of the Dorman fallacy is that intelligence is not the property of isolated systems but of relationships. Concierge value emerges in the interplay between person and place, gesture and response. The same is true for AI. Separated from the human context it becomes thin and mechanical. Driven by humanitarian purpose, it becomes powerful and humane.

Every generation of innovation faces this tension. The Industrial Revolution promised to free us from labor but often took away craftsmanship. The digital revolution promises connection but often creates distraction. Now the AI ​​revolution promises efficiency, but unless we’re careful, it could destroy the very qualities that make work worth doing.

As we race to install the next generation of technological “automatic doors,” let us remember the man who once stood behind them. Not because of nostalgia, but because the future belongs to those who still know how to welcome others.